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Monitoring Gambling Impacts and Preventing Gambling Harm in Massachusetts Rachel A. Volberg 11 th European Conference on Gambling Studies &Policy Issues September 14-16, 2016 Funding Declaration & Acknowledgements This study was

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Monitoring Gambling Impacts and Preventing Gambling Harm in Massachusetts

Rachel A. Volberg

11th European Conference on Gambling Studies &Policy Issues September 14-16, 2016

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Funding Declaration & Acknowledgements

  • This study was funded by the Massachusetts

Gaming Commission

  • Many thanks to the members of the SEIGMA

research team

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BACKGROUND

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2011 Expanded Gaming Act

  • Allows for resort style

casinos in three geographically diverse regions

  • No more than one

casino in each region

  • Allows for one slots

parlor statewide (not geographically restricted)

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Features of the Expanded Gaming Act

  • Regulators required to give equal importance to

–establishing a viable casino industry –minimizing and mitigating negative impacts

  • Host communities given a strong voice
  • PG issue framed explicitly through a public health lens
  • Central role of research to enhance responsible

gambling and minimize problem gambling

  • Funds to conduct research and provide services to

problem gamblers and their families ensured

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MGC Research Agenda

  • MGC launched its research agenda in 2012
  • Components currently include:

– Impact study (SEIGMA) – Cohort study (MAGIC) – Crime component – Evaluation of RG activities (RGICs, SE, play mgmt) – Strategic plan for PG services

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SEIGMA Overview

SEIGMA’s Topic Areas

Social & Health Impacts

  • General

population surveys

  • Targeted

population surveys

  • Online panel

surveys

  • Secondary data

collection Economic & Fiscal Impacts

  • REMI modeling

using primary & secondary data

  • Community

comparison analysis

  • Profiles of host

communities

  • Real estate data

analysis Problem Gambling Services Evaluation

  • General

population surveys

  • Online panel

surveys

  • Online focus

groups

  • Secondary data

collection

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SLIDE 8

Cohort Study (MAGIC)

  • Focus on incidence & etiology
  • Launch delayed due to repeal referendum
  • Wave 1 = Baseline Population Survey
  • Stratified sample drawn based on risk profile
  • Wave 2 launched March 2015

– Achieved sample = 3139

  • Wave 3 expanded quex developed
  • Wave 3 launched in March 2016

– Achieved sample = 2455

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Additional Components of MGC Research Agenda

  • MGC crime analyst obtains

quarterly updates on police incident reports from host & surrounding communities

  • Intended to provide real

time data for timely deployment of local police resources

  • Higher-geography data will

be analyzed for SEIGMA

  • Voluntary self-exclusion
  • Responsible Gambling

Information Centers in gaming venues

  • Play management system to

be offered to all loyalty card customers

  • Evaluation contracted to

Cambridge Health Alliance, Division on Addictions

Crime Evaluation of RG Efforts

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BASELINE GENERAL POPULATION SURVEY

Social & Health Impacts Analysis

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Baseline Population Survey Methods

Survey Methodology

  • Sample drawn from a list of addresses
  • Respondents could complete online, on paper,
  • r by telephone
  • Data collected from Sept. 2013 – May 2014
  • Sample size of ~10,000
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Gambling Attitudes

Impact of Gambling Expansion on State

13.1% 27.4% 20% 31.1% 8.3%

5 10 15 20 25 30 35

Very Harmful Somewhat Harmful Equal harm or benefit Somewhat Beneficial Very Beneficial

Percent

Perceived impact of gambling in Massachusetts

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Gambling Participation

Past-year Gambling Participation

72% 59% 32% 22% 13% 12% 3% 3% 2%

0% 10% 20% 30% 40% 50% 60% 70% 80%

Overall All lottery Raffles Casino Sports betting Private wagering Horse racing Bingo Online

Percent

Gambling participation by activity

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Gambling Participation

Past-year Gambling Participation by Gender, Age, and Race/Ethnicity

76% 69% 57% 71% 77% 69% 64% 68% 76% 51%

0% 20% 40% 60% 80% 100%

Male Female 18-24 25-34 35-64 65+ Hispanic Black White Asian Gender Age Race/Ethnicity

Percent

Gambling by gender, age and race/ethnicity

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Gambling Participation

Past-year Casino Participation by Gender, Age, and Race/Ethnicity

24% 19% 16% 29% 21% 18% 16% 23% 23% 18%

0% 20% 40% 60% 80% 100%

Male Female 18-24 25-34 35-64 65+ Hispanic Black White Asian Gender Age Race/Ethnicity

Percent

Casino participation by gender, age and race/ethnicity

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Gambling Participation

States Most Visited for Casino Gambling

64,6% 10,2% 9,1% 1,9% 1,9% 12,3%

States most visited for casino gambling

Connecticut Rhode Island Nevada New Jersey New York Other

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Problem Gambling

Problem Gambling Prevalence

27,5% 63,4% 7,5% 1.7%

Problem gambling prevalence

Non gambler Recreational gambler At-risk gambler Problem gambler

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Problem Gambling

Problem Gambling Status by Gender, Race/Ethnicity, & Education

2,7% 0,7% 5,8% 1,4% 3,7% 1,8% 1,3%

0% 1% 2% 3% 4% 5% 6% 7% Male Female Hispanic* Black White Asian* HS or GED Some college BA MS+* Gender Race/Ethnicity Education Percent

Problem gambling by gender, race/ethnicity and education

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Problem Gambling

Problem Gambling Prevalence by Type of Gambling

5 10 15 20

All gambling Raffles All lottery Traditional games Instant games Casino Private wagering Sports betting Daily games Horse racing Online

Percent

Problem gambling prevalence by type

  • f gambling

Problem gambling

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STRATEGIC PLAN FOR PROBLEM GAMBLING SERVICES

Overview

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Problem Gambling Services Evaluation

Strategic Plan for Prevention and Treatment

  • In 2014, MA DPH contracted with Education

Development Center’s (EDC) Massachusetts Technical Partnership for Prevention to develop a strategic plan for problem gambling services in MA

  • The resulting strategic plan:

– Provides an overview of existing PG-related services in MA – Incorporates key findings identified in a SEIGMA white paper – Provides recommendations for how best to utilize available funds

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Problem Gambling Services Evaluation

SEIGMA Research Activities in Support of Strategic Plan

  • SEIGMA survey data

– Baseline Population Survey – Online Panel Survey

  • MCCG Problem Gambling Helpline data
  • Online focus group with treatment providers
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Problem Gambling Services Evaluation

Awareness of Media Campaigns & Programs

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Problem Gambling Services Evaluation

Mass Council Helpline Data

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Problem Gambling Services Evaluation

Mass Council Website Data

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Problem Gambling Services Evaluation

Analysis of MCCG Helpline Data Summary of Key Findings

  • Majority of gambler callers were middle-aged men
  • Majority of concerned others were women
  • Most common reasons for seeking help were

financial problems, emotional health issues, and relationship issues

  • MCCG made ~900 referrals to state-run treatment

centers

  • MCCG also made ~2600 referrals to other sources
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Problem Gambling Services Evaluation

Online Focus Group Summary of Key Findings

  • Providers use a variety of screening tools in various different

ways

  • Providers set treatment goals and evaluate treatment
  • utcomes in different ways
  • Providers differ in their opinions regarding treatment goals

and outcomes

  • Providers have a number of unmet needs

– Desire for skills-based clinical training opportunities – Desire to be part of a community of practice – Desire for clinical supervision and mentorship – Greater ability to track/evaluate/improve client outcomes – More outreach to raise awareness about available services

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Problem Gambling Services Evaluation

Common Themes Identified

  • Information about gambling behavior and problems in

Massachusetts can be used to tailor prevention messages and target outreach efforts

  • At-risk and problem gambling prevalence estimates and

information about concerned others can be used to estimate treatment volume and plan for treatment-seekers

  • Improved data collection regarding help- and treatment-

seekers in the Commonwealth is needed

  • Improved problem gambling service administration is

needed—clinical supervision, best practices, standardized practices, evaluation, etc.

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LOOKING AT THE ECONOMIC IMPACTS

Key Findings from the

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SEIGMA Overview

Host Communities and Areas of Study

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Economic & Fiscal Impacts Analyses

Real Estate Analysis

  • Focus on baseline conditions in/around host

communities

– Residential properties

  • Sales, sale price, rents

– Commercial/industrial properties

  • Inventory, net absorption, lease rates

– Analysis at multiple scales

  • Host community, surrounding communities, immediate

region, distance from casinos

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Economic & Fiscal Impacts Analyses

Plainville Sales Trends

  • Small market, dominated by SF home sales
  • Upward trend, but highly variable
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Economic & Fiscal Impacts Analyses

SF Home Sales “Hot Spots”

Areas of Concentrated Single-family Home Sales, 2008 to 2014

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Economic & Fiscal Impacts Analyses

Construction of PPC

  • Collected construction data on Plainridge Park
  • Finalizing report of construction spending and its

impacts

– This analysis will change slightly with the inclusion of design and engineering.

  • Developed data collection relationships with

PMA, Pinck, MGC, MGM, and Plainridge Park

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Economic & Fiscal Impacts Analyses

Plainridge Park Project Background

  • Property includes four main structures

– Racetrack, grandstand and simulcast building, casino, parking garage

  • The track carried over, the grandstand was

remodeled, and the casino and parking garage are new

  • Construction took approximately 14 months

and cost $115 million

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Economic & Fiscal Impacts Analyses

Spending by Quarter

$7,2 $10,8 $18,4 $31,6 $20,6 $3,2 $4,9 $9,5 $4,4 $4,8 $10,4 $15,6 $27,9 $36,0 $25,4

$0 $5 $10 $15 $20 $25 $30 $35 $40

Q2 2014 Q3 2014 Q4 2014 Q1 2015 Q2 2015

Spending (Millions of $)

Casino Garage

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Economic & Fiscal Impacts Analyses

Share of Construction Spending

MA 85% NH 2% CT 0% RI 2% Other 11%

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Economic & Fiscal Impacts Analyses

Total Quarterly Workers and Wages

74 726 998 415 $1,1 $7,4 $9,7 $3,3

$0,0 $2,0 $4,0 $6,0 $8,0 $10,0 $12,0 200 400 600 800 1.000 1.200

Plainville and Surrounding Communities Rest of Bristol and Norfolk Counties Rest of State Outside of MA

Total Quarterly Wages (Millions) Total Quarterly Workers

Total Employment Total Wages

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Economic & Fiscal Impacts Analyses

Total Employment Impacts by Region

Total Employment (Job-Years) 2014 2015

Bristol and Norfolk Counties 400 355 Rest of Southeastern MA 53 61 Boston Metro 102 102 Rest of Central MA 18 20 Lower Pioneer Valley 2 2 Rest of Western MA Total 576 540

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Economic & Fiscal Impacts Analyses

Weekly Lottery Outlet Data

  • MA Lottery is providing sales data by outlet

and by game

– Reports on weekly sales for 8,028 outlets

  • Outlet specific data is unique opportunity and

big advantage

  • Allows analysis of lottery sales by community,

by driving time and/or distance from casino, and by game

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Economic & Fiscal Impacts Analyses

Percent Change in Lottery Sales by City

Jun-Dec 2015 vs Jun-Dec 2014

Barnstable Bourne Brewster Chatham Dennis Eastham Falmouth Harwich Mashpee Orleans Provincetown Sandwich Truro Wellfleet Yarmouth Adams Alford Becket Cheshire Clarksburg Dalton Egremont Florida Great Barrin Hancock Hinsdale Lanesborough Lee Lenox Monterey Mount Washin New Ashford New Marlboro North Adams Otis Peru Pittsfield Richmond Sandisfield Savoy Sheffield Stockbridge Tyringham Washington West Stockbr Williamstown Windsor Acushnet Attleboro Berkley Dartmouth Dighton Easton Fairhaven Fall River Freetown Mansfield New Bedford North Attleb Norton Raynham Rehoboth Seekonk Somerset Swansea Taunton Westport Aquinnah Chilmark Edgartown Gosnold Oak Bluffs Tisbury West Tisbury Amesbury Andover Beverly Boxford Danvers Essex Georgetown Gloucester Groveland Hamilton Haverhill Ipswich Lawrence Lynn Lynnfield Manchester Marblehead Merrimac Methuen Middleton Nahant Newbury Newburyport North Andove Peabody Rockport Rowley Salem Salisbury Saugus Swampscott Topsfield Wenham West Newbury Ashfield Bernardston Buckland Charlemont Colrain Conway Deerfield Erving Gill Greenfield Hawley Heath Leverett Leyden Monroe Montague New Salem Northfield Orange Rowe Shelburne Shutesbury Sunderland Warwick Wendell Whately Agawam Blandford Brimfield Chester Chicopee East Longmea Granville Hampden Holland Holyoke Longmeadow Ludlow Monson Montgomery Palmer Russell Southwick Springfield Tolland Wales Westfield West Springf Wilbraham Amherst Belchertown Chesterfield Cummington Easthampton Goshen Granby Hadley Hatfield Huntington Middlefield Northampton Pelham Plainfield Southampton South Hadley Ware Westhampton Williamsburg Worthington Acton Arlington Ashby Ashland Ayer Bedford Belmont Billerica Boxborough Burlington Cambridge Carlisle Chelmsford Concord Dracut Dunstable Everett Framingham Groton Holliston Hopkinton Hudson Lexington Lincoln Littleton Lowell Malden Marlborough Maynard Medford Melrose Natick Newton North Readin Pepperell Reading Sherborn Shirley Somerville Stoneham Stow Sudbury Tewksbury Townsend Tyngsborough Wakefield Waltham Watertown Wayland Westford Weston Wilmington Winchester Woburn Nantucket Avon Bellingham Braintree Brookline Canton Cohasset Dedham Dover Foxborough Franklin Holbrook Medfield Medway Millis Milton Needham Norfolk Norwood Plainville Quincy Randolph Sharon Stoughton Walpole Wellesley Westwood Weymouth Wrentham Abington Bridgewater Brockton Carver Duxbury East Bridgew Halifax Hanover Hanson Hingham Hull Kingston Lakeville Marion Marshfield Mattapoisett Middleboroug Norwell Pembroke Plymouth Plympton Rochester Rockland Scituate Wareham West Bridgew Whitman Boston Chelsea Revere Winthrop Ashburnham Athol Auburn Barre Berlin Blackstone Bolton Boylston Brookfield Charlton Clinton Douglas Dudley East Brookfi Fitchburg Gardner Grafton Hardwick Harvard Holden Hopedale Hubbardston Lancaster Leicester Leominster Lunenburg Mendon Milford Millbury Millville New Braintre Northborough Northbridge North Brookf Oakham Oxford Paxton Petersham Phillipston Princeton Royalston Rutland Shrewsbury Southborough Southbridge Spencer Sterling Sturbridge Sutton Templeton Upton Uxbridge Warren Webster Westborough West Boylsto West Brookfi Westminster Winchendon Worcester

(10,700] (6,10] (4,6] (2,4] (0,2] (-2,0] (-5,-2] [-70,-5] No data

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Economic & Fiscal Impacts Analyses

Percent Change by City w/in 30 minute Drive

  • f Plainridge Park

Jun-Dec 2015 vs Jun-Dec 2014

Attleboro Berkley Easton Mansfield North Attleb Norton Raynham Rehoboth Seekonk Taunton Holliston Hopkinton Bellingham Canton Dedham Foxborough Franklin Medfield Medway Millis Norfolk Norwood Plainville Sharon Stoughton Walpole Westwood Wrentham Bridgewater Lakeville Middleboroug West Bridgew Blackstone Hopedale Mendon Milford Millville Southborough Upton Westborough

(10,40] (6,10] (4,6] (2,4] (0,2] (-2,0] (-5,-2] [-14,-5]

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CONCLUSION

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Lessons We Have Learned

  • Developing & maintaining relationships is vital
  • Regular communication is essential
  • Collaboration needed to effectively assess &

address gambling impacts

– But requires extensive resources of time & good will

  • Challenges in balancing feedback & best

practices

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Thank you!

For more information, visit: www.umass.edu/seigma